Vercel Demos v0 AI Skills Pipeline

#1 in

Claire Vo recorded the first live How I AI episode in SF featuring Guillermo Rauch demonstrating v0 by Vercel, which spun up skills.sh hosting 40k+ installable AI skills and introduced a code→production pipeline powered by git repos and PRs.

#2 𝕏

Philipp Schmid proposes “Test-Time Evolution” from Google DeepMind research, where agents actively Search, Synthesize, and Evolve memory after each interaction to refine and delete irrelevant experiences.

#3 📝 Anthropic Engineering

Designing AI-resistant technical evaluations - This article discusses insights gained from three iterations of a performance engineering take-home that Claude consistently excels in.

#4 𝕏

Google AI launched Project Genie, an experimental prototype that lets US-based Google AI Ultra subscribers (18+) build and explore custom interactive worlds.

#5 𝕏

Google Research introduced Sequential Attention, an algorithm for optimized subset selection in large-scale ML models that addresses NP-hard feature selection and supports deep learning architecture optimization.

#6 𝕏

Peter Yang published an OpenClaw tutorial covering safe setup, 5 use cases (calendar, docs, voice, daily briefings, weekly insights), step-by-step Google Workspace integration, and bot memory personalization.

#7 𝕏

Harrison Chase launched a redesigned Experiment Comparison View in LangSmith to enable side-by-side benchmarking of agent and LLM pipelines.

#8 📝 Surge AI Blog

SWE-Bench Failures: When Coding Agents Spiral Into 693 Lines of Hallucinations - A case study on how coding models can spiral into hallucinations and the implications for AI development.

#9 📝 Surge AI Blog

How do frontier models perform on real-world finance problems? - An analysis of GPT-5, Gemini 2.5 Pro, and Claude Sonnet 4.5 on over 200 finance tasks highlights their limitations in real-world applications.

#10 𝕏

DeepLearning.AI announced Zhipu AI launched GLM-Image, an open-weights image generator designed to produce clearer, more accurate text in images with a two-stage layout-planning and detail-rendering approach.

#11 📝 PromptLayer Blog

Browser Tools, MCP, and Other Methods for Agentic Browser Use - Discusses the integration of AI with browser tools and the implications for agentic execution in modern applications.

#12 📝 PromptLayer Blog

AI Contextual Refinement - An exploration of the importance of contextual refinement in AI as technology evolves beyond traditional prompt engineering.

#13 𝕏

Teresa Torres published a set of context‐rot mitigation strategies for Claude Code, complete with an infographic image and linked guide (https://t.co/3gwqCPp36l, https://t.co/kC4CfyiPJ6).

#14 𝕏

Sebastian Raschka described a hybrid architecture with very few attention layers for the Qwen3 80B Next model, with the same concept applied to the 235B coder variant.

#15 in

Ben Erez released a new framework for designing PM interviews to evaluate AI fluency and hosted a Zoom session with Tal Raviv and Aman Khan that drew 2,300 sign-ups and nearly 500 live attendees.

#16 𝕏

Dharmesh reported that dozens of startups position themselves as “AI-first,” resulting in the label no longer conveying value.

#17 𝕏

Guillermo Rauch noted that Vercel AI’s streaming feature lacks resumability, stating “No resumability is deadly for AI UX.”

#18 𝕏

Claude launched by Anthropic as an ad-free AI assistant built for work and deep thinking, detailed in the “Claude is a space to think” announcement on anthropic.com/news/claude-is-a-space-to-think.

#19 𝕏

Google Research introduced Sequential Attention, a block-sparse Transformer attention mechanism implemented in JAX and released open-source at https://github.com/google-research/sequential-attention. It achieves up to 3.2× memory reduction and 2.

#20 in

Peter Yang launched a new OpenClaw tutorial detailing safe setup, five key use cases (calendar, docs, voice, daily briefings, weekly insights), step-by-step Google Workspace integration, and bot memory personalization.